Agent Ready Report

Scan any public website and see how ready it is for AI agents and AI search, explained plainly.

我该使用它吗

质量与安全性

A
描述质量
100%
模式完整度
95%
命名质量
80%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~722token 数(工具定义)
~2.1 KB典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 0.56%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "agent-ready-report": {
      "url": "https://scan.agenticplug.ai/mcp"
    }
  }
}

远程端点

https://scan.agenticplug.ai/mcpstreamable-http

它能做什么

工具清单

工具(2)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢scan_website(url, sells_online, detail)

Scan a public website and report how ready it is for AI agents and AI search: which checks pass, which are missing, and what each check is, in plain English and technically. Covers 35 checks in three groups: agent readiness (robots.txt and AI crawler rules, sitemap, Link headers, DNS-AID, markdown for agents, Content Signals, API catalog, OAuth discovery, auth.md, MCP server card, A2A agent card, agent skills, WebMCP, ARD), agentic commerce (x402, MPP, UCP, ACP, AP2; scored only for sites that sell online), and AI search foundations (HTTPS, AI crawler access, indexability, content without JavaScript, heading structure, title and description, canonical URL, structured data, business identity markup, language, response time). Use when someone asks whether their website is ready for AI agents, AI search, ChatGPT, Claude, Perplexity, Muse or agentic commerce. A scan takes 5 to 30 seconds.

输入模式

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "minLength": 3,
      "maxLength": 2048,
      "description": "The website to scan, e.g. \"example.com\" or \"https://www.example.com\"."
    },
    "sells_online": {
      "default": "auto",
      "description": "Whether the site sells online. \"auto\" detects it from the homepage; use \"yes\" or \"no\" when the owner has said.",
      "type": "string",
      "enum": [
        "auto",
        "yes",
        "no"
      ]
    },
    "detail": {
      "default": "standard",
      "description": "\"standard\": findings with plain-English and technical explanations. \"full\": adds pass criteria, request-by-request evidence and source links.",
      "type": "string",
      "enum": [
        "standard",
        "full"
      ]
    }
  },
  "required": [
    "url"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢explain_check(check_id)

Explain one agent-readiness check in depth: what it is, why it matters for AI agents and AI search, exactly how the scanner tests it, what counts as a pass, and the official sources. Call with no check_id to list every check.

输入模式

{
  "type": "object",
  "properties": {
    "check_id": {
      "description": "The check's id, as shown in a scan report (e.g. \"dnsAid\", \"aiCrawlerAccess\"). Omit to list all checks.",
      "type": "string",
      "enum": [
        "robotsTxt",
        "sitemap",
        "linkHeaders",
        "dnsAid",
        "markdownNegotiation",
        "robotsTxtAiRules",
        "contentSignals",
        "apiCatalog",
        "oauthDiscovery",
        "oauthProtectedResource",
        "authMd",
        "mcpServerCard",
        "a2aAgentCard",
        "agentSkills",
        "webMcp",
        "ard",
        "webBotAuth",
        "x402",
        "mpp",
        "ucp",
        "acp",
        "ap2",
        "https",
        "aiCrawlerAccess",
        "indexable",
        "contentWithoutJs",
        "headingStructure",
        "titleAndDescription",
        "canonical",
        "structuredData",
        "entitySchema",
        "pageTypeSchema",
        "language",
        "responseTime",
        "llmsTxt"
      ]
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

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